指纹(计算)
匹配(统计)
身份(音乐)
计算机科学
人工智能
集合(抽象数据类型)
模式识别(心理学)
细节
指纹识别
人口
数据挖掘
情报检索
统计
数学
医学
物理
环境卫生
程序设计语言
声学
作者
Arent de Jongh,Anko R. Lubach,Sheryl L. Lie Kwie,Ivo Alberink
标识
DOI:10.1111/1556-4029.13838
摘要
Latent print examiners often use their experience and knowledge to reach a conclusion on the identity of the source. Their conclusion is primarily based on their personal opinion on the rarity of the matching fingerprint features. Fingerprint patterns, if present, can play a significant role in the final assessment of a match. The authors believe that statistical data on the rarity of fingerprint patterns strengthens the subjective evaluation of the corresponding information. In order to provide fingerprint examiners with additional numerical support, fingerprint patterns were manually classified in a set of 24,104 fingerprints. In this study the frequencies of occurrence of 35 different fingerprint patterns have been obtained. The frequency data presented in this study can be used in the ACE-V process applied in forensic casework, allowing for the assessment of the evidential strength related to a specific fingerprint pattern type.
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